Sections What is time Representing time Where do we usually find time on Unix System time, hardware time, internal timers Syncing time with external sources What depends on time Human perception of time What is time Time is relative Measuring time and standards Coordinating time Time zones DST Time, a word that is entangled in everything in our lives, something we’re intimately familiar with. Keep
Go: A Documentary
Go: A Documentary by Changkun Ou <changkun.de> (and many inputs from contributors) This document collects many interesting (publicly observable) issues, discussions, proposals, CLs, and talks from the Go development process, which intends to offer a comprehensive reference of the Go history. Disclaimer Most of the texts are written as subjective understanding based on public sources Factual and ty
January 30, 2023 In this post, we'll implement a GPT from scratch in just 60 lines of numpy. We'll then load the trained GPT-2 model weights released by OpenAI into our implementation and generate some text. Note: This post assumes familiarity with Python, NumPy, and some basic experience training neural networks. This implementation is missing tons of features on purpose to keep it as simple as p
Webpack 4 was released in February 2018. Since then we shipped a lot of features without breaking changes. We know that people dislike major changes with breaking changes. Especially with webpack, which people usually only touch twice a year, and the remaining time it "just works". But shipping features without breaking changes also has a cost: We can't do major API or architectural improvements.
HTTP/3 From A To Z: Core Concepts — Smashing Magazine
After almost five years in development, the new HTTP/3 protocol is nearing its final form. Earlier iterations were already available as an experimental feature, but you can expect the availability and use of HTTP/3 proper to ramp up over in 2021. So what exactly is HTTP/3? Why was it needed so soon after HTTP/2? How can or should you use it? And especially, how does it improve web performance? Let
LogLog Games
The article is also available in Chinese. Disclaimer: This post is a very long collection of thoughts and problems I've had over the years, and also addresses some of the arguments I've been repeatedly told. This post expresses my opinion the has been formed over using Rust for gamedev for many thousands of hours over many years, and multiple finished games. This isn't meant to brag or indicate su
Deep Dive on AWS App Runner VPC Networking | Amazon Web Services
Containers Deep Dive on AWS App Runner VPC Networking AWS App Runner, introduced in 2021, is a fully managed service for running web applications and API servers. App Runner greatly simplifies the experience to build and run secure web server applications with little to no infrastructure in your account. You provide the source code or a container image, and App Runner will build and deploy your ap
Web Neural Network API
Web Neural Network API W3C Candidate Recommendation Draft, 5 May 2024 More details about this document This version: https://www.w3.org/TR/2024/CRD-webnn-20240505/ Latest published version: https://www.w3.org/TR/webnn/ Editor's Draft: https://webmachinelearning.github.io/webnn/ Previous Versions: https://www.w3.org/TR/2024/CRD-webnn-20240503/ History: https://www.w3.org/standards/history/webnn/ Im
Z80 Explorer is a Zilog Z80 netlist-level simulator capable of running Z80 machine code and also an educational tool with features that help reverse engineer and understand this chip better. Z80 Explorer is a tool I wished I had a few years ago when I first started looking at the photos of the Z80 chip die and was learning to reverse-engineer its features. The process was slow and painful as it in
Facebook AI主催の画像のコピー検知のコンペで入賞した際の取り組み | BLOG - DeNA Engineering
はじめに データ統括部データサイエンス第二グループ所属の横尾です。普段はデータサイエンスやコンピュータビジョンなどを扱う業務をしながら、Kaggleなどのコンペに空き時間を見つけて参加しています。本記事では Facebook AI主催のコンペ で入賞した際の取り組みについて紹介します。 早速ですが、忙しい方のために以下に解法をまとめました： Data augmentationを工夫し、画像のコピー＆改変をデータセットに忠実に再現 Contrastive lossとcross-batch memoryを組み合わせた距離学習 Progressive learningによるEfficientNetV2の学習 類似の負例を用いたベクトルに対する後処理 こちらは、本コンペの自分の解法をまとめた技術レポートとコードのリンクです。 arXiv GitHub ※ 一定深層学習分野に関する知識がある読者を想
What is Distributed SQL?Distributed SQL is a category of relational databases that combines the core features of traditional SQL and NoSQL systems, being strongly consistent while natively providing ACID transactional support across data centers, availability zones, and regions—in the cloud. It provides a single logical relational database deployed across a cluster of network servers. Distributed
Charging your smartphone overnight can damage the battery and shorten its lifespan. Here's everything you need to know. How do you increase the charge on your smartphone battery? You might think charging it while you're asleep to regularly hit 100 percent is beneficial, but that actually harms your battery and shortens its life. Here's the truth about maintaining smartphone batteries—and why you s
Historical expertise provided by Jerry Beck, Amelia Cook, Jason DeMarco, Maureen Furniss, Monique Henry-Hudson, Willow Catelyn Maclay, Linda Simensky, Koji Yamamura Entries by Rebecca Alter, Elly Belle, Kambole Campbell, Jen Chaney, Amelia Cook, Alex Costello, Marley Crusch, Toussaint Egan, Christopher L. Inoa, Genevieve Koski, Willow Catelyn Maclay, Rafael Motamayor, Sammy Nickalls, Joshua Rivera
Introduction 11 May 2021 — This website presents FragAttacks (fragmentation and aggregation attacks) which is a collection of new security vulnerabilities that affect Wi-Fi devices. An adversary that is within range of a victim's Wi-Fi network can abuse these vulnerabilities to steal user information or attack devices. Three of the discovered vulnerabilities are design flaws in the Wi-Fi standard
RWKVを論文と実装から読み解く
RWKVとは 昨今GPTをはじめとしたtransformerベースの大規模言語モデルが流行しています．transformerの重要な要素であるSelf-Attentionは，長距離の依存関係を学習するできるというメリットがある一方で，シーケンス内のすべての要素と他のすべての要素との依存関係を計算するために，計算量とメモリ使用量がシーケンス長の二乗（つまり、トークンの数の二乗）に比例してしまうという問題があります． 一方でRNNベースのモデルは，メモリと計算要件の面で線形にスケールしますが、並列化と拡張性の制限からtransformerと同等の性能を達成することが困難です． そこで，transformerの効率的な並列学習と，RNNの効率的な推論の両方を兼ね備えたモデルとしてRWKV（Receptance Weighted Key Value）という新たなモデルアーキテクチャーが提案されまし
どうも、コンサル部のテウです。 本記事は前回の記事の続きとなっており、「機械学習のチュートリアルコードは実行してみたんだけど、これだけで理解できるわけないじゃんー！」と思った方のための記事となります。 目次 始める前に 機械学習を入門するための方法として紹介されてある記事は既に多く存在すると思います。なぜイメージ分類モデルから機械学習を入門するの？って聞かれたら、「僕のバックグラウンドとしてイメージ分類タスクをやってましたので、これを活かしたアプローチが説明しやすい」と答えられます。あと、個人的な感想ですが、画像は視覚的にすぐ分かりやすいので複雑な Vector Space (Feature Space) のことを理解するのにも効果的な分野だと思います。 まぁ、しょうもない話より、早速ひとつづつ説明させていただきたいと思いますー！ 機械学習の一般的なプロセス 機械学習の一般的なプロセスを見
Months ago, when I heard that the legendary JS1k game jam would not be continuing, I talked it over with some other devs and decided to help fill the void we would host a 2k game jam on itch called 2kPlus Jam. The primary goal of this comp was to create a game that fits entirely in a 2 kilobyte zip file. That is incredibly small, for point of reference a 3.5 floppy disk could hold over 700 of thes
Patterns for Building LLM-based Systems & Products [ llm engineering production 🔥 ] · 66 min read Discussions on HackerNews, Twitter, and LinkedIn “There is a large class of problems that are easy to imagine and build demos for, but extremely hard to make products out of. For example, self-driving: It’s easy to demo a car self-driving around a block, but making it into a product takes a decade.”
Several weeks ago, the .NET Blog featured a post What is .NET, and why should you choose it?. It provided a high-level overview of the platform, summarizing various components and design decisions, and promising more in-depth posts on the covered areas. This post is the first such follow-up, deep-diving into the history leading to, the design decisions behind, and implementation details of async/a
Tencent Keen Security Lab: Experimental Security Assessment on Lexus Cars
Since 2017, Lexus has equipped several models (including Lexus NX, LS and ES series) with a new generation infotainment, which is also known as AVN (Audio, Visual and Navigation) unit. Compared to some Intelligent connected infotainment units, like Tesla IVI and BMW ConnectedDrive system, the new Lexus AVN unit seems to be a bit more traditional. From a security perspective, it may highly reduce t
「ディープラーニングと物理学 オンライン」とはオンラインWeb会議システムを利用したセミナーです。2023年10月より、学習物理領域セミナーと合同で開催されています。 登録する際のメールアドレスは、できるだけ大学もしくは研究機関のものをご使用ください。 ZoomのミーティングURLおよびパスワードは、先着順300名様に限り、登録されたメールアドレスに送信されます。転載・転送は控えてください。 URLが掲載されたメールは当日の朝までに送られます。 参加したい方は下記よりお申し込みください。毎回開催時に参加URLのついたアナウンスのメールを送信します。 登録フォーム (締切は前日の夜11時までとします) 解約フォームは下記でございます。 解約フォーム 参加時の表示名は「登録時の名前＠登録した機関名」に設定してください。 ノイズを防ぐためのミュートへご協力ください。 DLAP世話人: 橋本幸士（
Design for the iPadOS pointer - WWDC20 - Videos - Apple Developer
Streaming is available in most browsers, and in the WWDC app. Bring the power of the pointer to your iPad app: We'll show you how Apple's design team approached designing the iPadOS pointer to complement touch input, and how you can customize and refine pointer interactions in your app to make workflows more efficient and gratifying. Discover how the pointer's adaptive precision enables people to
Meet Raspberry Silicon: Raspberry Pi Pico now on sale at $4 - Raspberry Pi
Today, we’re launching our first microcontroller-class product: Raspberry Pi Pico. Priced at just $4, it is built on RP2040, a brand-new chip developed right here at Raspberry Pi. Whether you’re looking for a standalone board for deep-embedded development or a companion to your Raspberry Pi computer, or you’re taking your first steps with a microcontroller, this is the board for you. You can buy y
Introduction These release notes for Ubuntu 20.04 LTS (Focal Fossa) provide an overview of the release and document the known issues with Ubuntu 20.04 LTS and its flavors. For details of the changes applied since 20.04, please see the 20.04.6 change summary. The release notes for 20.04, 20.04.1, 20.04.2, 20.04.3, 20.04.4 and 20.04.5 change summary are available as well. Support lifespan Maintenanc
ニューラルネットワークとは¶ ニューラルネットワークは、微分可能な変換を繋げて作られた計算グラフ (computational graph) です。 本章では、まずは下の図のような、円で表されたノード (node) に値が入っていて、ノードとノードがエッジ (edge) で繋がれているようなものを考えます。 この図でいうノードの縦方向の集まりのことを層 (layer) と呼びます。 そしてディープラーニング (deep learning) とは、層の数が非常に多いニューラルネットワークを用いた機械学習の手法や、その周辺の研究領域のことを指します。 層（layer）¶ 上の図は、ニューラルネットワークを用いて、ワインに関するいくつかの情報から、そのワインが「白ワイン」なのか「赤ワイン」なのか、というカテゴリを予測する分類問題を解く例を表しています。 左側から、最初の層を入力層 (input
GitHub - ddbourgin/numpy-ml: Machine learning, in numpy
Click to expand! Gaussian mixture model EM training Hidden Markov model Viterbi decoding Likelihood computation MLE parameter estimation via Baum-Welch/forward-backward algorithm Latent Dirichlet allocation (topic model) Standard model with MLE parameter estimation via variational EM Smoothed model with MAP parameter estimation via MCMC Neural networks Layers / Layer-wise ops Add Flatten Multiply
Wait! You also have to make a call to WSAStartup() before doing anything else with the sockets library. You pass in the Winsock version you desire to this function (e.g. version 2.2). And then you can check the result to make sure that version is available. The code to do that looks something like this: #include <winsock2.h> { WSADATA wsaData; if (WSAStartup(MAKEWORD(2, 2), &wsaData) != 0) { fprin
As the 2010’s draw to a close, it’s worth taking a look back at the monumental progress that has been made in Deep Learning in this decade.[1] Driven by the development of ever-more powerful compute and the increased availability of big data, Deep Learning has successfully tackled many previously intractable problems, especially in Computer Vision and Natural Language Processing. Deep Learning has
Deploying Transformers on the Apple Neural Engine
An increasing number of the machine learning (ML) models we build at Apple each year are either partly or fully adopting the Transformer architecture. This architecture helps enable experiences such as , , , , and many others. This year at WWDC 2022, Apple is making available an open-source reference PyTorch implementation of the Transformer architecture, giving developers worldwide a way to seaml
2022年1月8日紙版発売 2021年12月24日電子版発売 岡野原大輔 著 A5判／304ページ 定価2,948円（本体2,680円＋税10%） ISBN 978-4-297-12560-8 Gihyo Direct Amazon 楽天ブックス ヨドバシ.com 電子版 Gihyo Digital Publishing Amazon Kindle ブックライブ 楽天kobo honto 本書のサポートページサンプルファイルのダウンロードや正誤表など この本の概要 初学者の方々に向けた，ディープラーニングの技術解説書。 2012年に一般画像分類コンテスト（ILSVRC）で衝撃的な性能を達成したAlexNetの登場以来，急速な進化を遂げているディープラーニング。現在の人工知能/AIの発展の中核を担っており，スマートフォンからIoT，クラウドに至るまで幅広い領域で，画像，音声，言語処理をはじめ
Blogged Answers: Why React Context is Not a "State Management" Tool (and Why It Doesn't Replace Redux)
Home Definitive answers and clarification on the purpose and use cases for Context and Redux Introduction 🔗︎ "Context vs Redux" has been one of the most widely debated topics within the React community ever since the current React Context API was released. Sadly, most of this "debate" stems from confusion over the purpose and use cases for these two tools. I've answered various questions about Co
"�[31m"?! ANSI Terminal security in 2023 and finding 10 CVEs This paper reflects work done in late 2022 and 2023 to audit for vulnerabilities in terminal emulators, with a focus on open source software. The results of this work were 10 CVEs against terminal emulators that could result in Remote Code Execution (RCE), in addition various other bugs and hardening opportunities were found. The exact c
Visiteurs depuis le 28/01/2019 : 9334 Connectés : 1 Record de connectés : 93 5+ Best DMG to ISO Converter Download Reviews. Typically, the ISO file system is dominant on the windows platform. As a matter of fact just like the DMG format, it is the default disc image as well as OS compression format, the same is for the ISO on Windows. Aolor DMG to ISO Converter for Mac. Rating: 3.8/5 Price: Free D
VSeeFace
Contents About Download Terms of use Credits VSFAvatar Tutorials Manual FAQ Virtual camera Transparency Network tracking Special blendshapes Expressions VMC protocol Model posing iPhone tracking Perception Neuron ThreeDPoseTracker Troubleshooting Preview in Unity Translations Running on Linux Troubleshooting Startup Tracking/Webcam Virtual camera Model issues Lipsync Game capture Log folder Perfor
The teeth are not the only problem 2023-11-05 Table of contents (This is not) a performance review Pulling back the curtain Engine and architecture Attachment issues Renderdoc analysis DOTS instance data update Simulation Virtual texturing cache update Skybox generation Pre-pass The teeth controversy Pre-pass continued, featuring the high poly hall of shame Motion vectors Roads and decals Main pas
コンピュータビジョンの最新論文調査 Segmentation 編 | BLOG - DeNA Engineering
はじめに こんにちは、AIシステム部でコンピュータビジョンの研究開発をしている唐澤です。 我々のチームでは、常に最新のコンピュータビジョンに関する論文調査を行い、部内で共有・議論しています。今回は Segmentation 編として唐澤 拓己(@Takarasawa_)、葛岡 宏祐(facebook)、宮澤 一之(@kzykmyzw)が調査を行いました。 過去の他タスク編については以下をご参照ください。 Human Recognition 編 3D Vision 編 キーポイント検出の手法を用いた物体検出編 Object Tracking 編 論文調査のスコープ 2018年11月以降にarXivに投稿されたコンピュータビジョンに関する論文を範囲としており、その中から重要と思われるものをピックアップして複数名で調査を行っております。今回は主に Segmentation 技術に関する最新論文を
My engineering friends often ask me: deep learning on graphs sounds great, but are there any real applications? While Graph Neural Networks are used in recommendation systems at Pinterest, Alibaba and Twitter, a more subtle success story is the Transformer architecture, which has taken the NLP world by storm. Through this post, I want to establish a link between Graph Neural Networks (GNNs) and Tr
Choosing the right vector DB solution#Welcome back! In the previous post in this 4-part series, we looked at the different types of indexes typically used in vector DBs. However, indexing is just a small part of the bigger elephant in the room when it comes to vector databases. Recall that in part 2, we described what a vector database is. To distinguish between the various vector DB offerings out
US9406017B2 - System and method for addressing overfitting in a neural network - Google Patents
US9406017B2 - System and method for addressing overfitting in a neural network - Google Patents System and method for addressing overfitting in a neural network Download PDF Info Publication number US9406017B2 US9406017B2 US14/015,768 US201314015768A US9406017B2 US 9406017 B2 US9406017 B2 US 9406017B2 US 201314015768 A US201314015768 A US 201314015768A US 9406017 B2 US9406017 B2 US 9406017B2 Autho
A Reverse Engineer’s Perspective on the Boeing 787 ‘51 days’ Airworthiness Directive – IOActive
A Reverse Engineer’s Perspective on the Boeing 787 ‘51 days’ Airworthiness Directive Several weeks ago, international regulators announced that they were ordering Boeing 787 operators to completely shut down the plane’s electrical power whenever it had been running for 51 days without interruption.1 The FAA published an airworthiness directive elaborating on the issue, and I was curious to see wha
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Time on Unix
GPT in 60 Lines of NumPy | Jay Mody
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【入門】イメージ分類モデルから入門する機械学習の基本概念まとめ | DevelopersIO
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"�[31m"?! ANSI Terminal security in 2023 and finding 10 CVEs
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